Automatic Design of Modular Neural Networks Using Genetic Programming. - Naser NourAshrafoddin; Ali R. Vahdat; Mohammad Mehdi Ebadzadeh (ICANN (1), 2007)

Material Classification of Hyperspectral Images Using Unsupervised Fuzzy Clustering Methods. - Soudeh Kasiri Bidhendi; Abbas Sarraf Shirazi; Narges Fotoohi; Mohammad Mehdi Ebadzadeh (SITIS, 2007)

DNPSO: A Dynamic Niching Particle Swarm Optimizer for multi-modal optimization. - Ahmad Nickabadi; Mohammad Mehdi Ebadzadeh; Reza Safabakhsh (IEEE Congress on Evolutionary Computation, 2008)

Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual. - Mehrshad Khosraviani; Saadat Pour-Mozafari; Mohammad Mehdi Ebadzadeh (GECCO, 2008)

Evaluating the performance of DNPSO in dynamic environments. - Ahmad Nickabadi; Mohammad Mehdi Ebadzadeh; Reza Safabakhsh (SMC, 2008)

A DDoS-Aware IDS Model Based on Danger Theory and Mobile Agents. - Mahdi Zamani; Mahnush Movahedi; Mohammad Mehdi Ebadzadeh; Hossein Pedram (CIS (1), 2009)

Fuzzy generalized hough transform invariant to rotation and scale in noisy environment. - Hamid Izadinia; Fereshteh Sadeghi; Mohammad Mehdi Ebadzadeh (FUZZ-IEEE, 2009)

A Hybrid Fuzzy Neuro-Immune Network based on Multi-Epitope approach. - Hamid Izadinia; Fereshteh Sadeghi; Mohammad Mehdi Ebadzadeh (IJCNN, 2009)

Quantum-Inspired Evolution Strategy. - Hamid Izadinia; Mohammad Mehdi Ebadzadeh (SoCPaR, 2009)

An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS. - Hossien Riahi-Madvar; Seyed Ali Ayyoubzadeh; Ehsan Khadangi; Mohammad Mehdi Ebadzadeh (Expert Syst. Appl., 2009)

A novel hybrid algorithm for creating self-organizing fuzzy neural networks. - Omid Khayat; Mohammad Mehdi Ebadzadeh; Hamid Reza Shahdoosti; Ramin Rajaei; Iman Khajehnasiri (Neurocomputing, 2009)

A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept. - Hamid Izadinia; Fereshteh Sadeghi; Mohammad Mehdi Ebadzadeh (Neural Networks, 2009)

On fuzzy Semantic Web Services. - Fernando Bobillo; Ehsan Sharifi; Mohammad Mehdi Ebadzadeh; Reza Askari Moghadam (FUZZ-IEEE, 2010)

Fuzzy External Force for Snake. - Rahman Arshizadeh; Mohammad Mehdi Ebadzadeh (ITNG, 2010)

Fuzzy Decision Tree Learning for Preoperative Classification of Adnexal Masses. - Emad Ahmadi; Hoda Javadi; Amin Khansefid; Atousa Asadi; Mohammad Mehdi Ebadzadeh; Dirk Timmerman (HEALTHINF, 2011)

Application of particle swarm optimization and snake model hybrid on medical imaging. - Ehsan Shahamatnia; Mohammad Mehdi Ebadzadeh (CIMI, 2011)

Kernel evolution for support vector classification. - Mehrdad Alizadeh; Mohammad Mehdi Ebadzadeh (EAIS, 2011)

A fuzzy framework for Semantic Web Service description, matchmaking, ranking and selection. - Ehsan Sharifi; Reza Askari Moghadam; Fernando Bobillo; Mohammad Mehdi Ebadzadeh (FSKD, 2011)

A novel particle swarm optimization algorithm with adaptive inertia weight. - Ahmad Nickabadi; Mohammad Mehdi Ebadzadeh; Reza Safabakhsh (Appl. Soft Comput., 2011)

Adaptive Quantum-inspired Evolution Strategy. - Hamid Izadinia; Mohammad Mehdi Ebadzadeh (IEEE Congress on Evolutionary Computation, 2012)

Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm. - Hamed Malek; Mohammad Mehdi Ebadzadeh; Mohammad Rahmati (Appl. Intell., 2012)

Immune based fuzzy agent plays checkers game. - Seyyed Hadi Cheheltani; Mohammad Mehdi Ebadzadeh (Appl. Soft Comput., 2012)

A competitive clustering particle swarm optimizer for dynamic optimization problems. - Ahmad Nickabadi; Mohammad Mehdi Ebadzadeh; Reza Safabakhsh (Swarm Intell., 2012)

Adaptive cooperative particle swarm optimizer. - Mohammad Hasanzadeh 001; Mohammad Reza Meybodi; Mohammad Mehdi Ebadzadeh (Appl. Intell., 2013)

A Danger-Based Approach to Intrusion Detection. - Mahdi Zamani; Mahnush Movahedi; Mohammad Mehdi Ebadzadeh; Hossein Pedram (CoRR, 2014)

Estimation of mutual information by the fuzzy histogram. - Maryam Amir Haeri; Mohammad Mehdi Ebadzadeh (Fuzzy Optim. Decis. Mak., 2014)

Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees. - Samaneh Sadat Mousavi Astarabadi; Mohammad Mehdi Ebadzadeh (GECCO (Companion), 2015)

Cerebellum-inspired neural network solution of the inverse kinematics problem. - Mitra Asadi-Eydivand; Mohammad Mehdi Ebadzadeh; Mehran Solati-Hashjin; Christian Darlot; Noor Azuan Abu Osman (Biol. Cybern., 2015)

Dynamics of the HPA axis and inflammatory cytokines: Insights from mathematical modeling. - Hamed Malek; Mohammad Mehdi Ebadzadeh; Reza Safabakhsh; Alireza Razavi; Jalal Zaringhalam (Comput. Biol. Medicine, 2015)

Improving GP generalization: a variance-based layered learning approach. - Maryam Amir Haeri; Mohammad Mehdi Ebadzadeh; Gianluigi Folino (Genet. Program. Evolvable Mach., 2015)

CFNN: Correlated fuzzy neural network. - Mohammad Mehdi Ebadzadeh; Armin Salimi-Badr (Neurocomputing, 2015)

BNC-VLA: bayesian network structure learning using a team of variable-action set learning automata. - Soheila Gheisari; Mohammad Reza Meybodi; Mehdi Dehghan 001; Mohammad Mehdi Ebadzadeh (Appl. Intell., 2016)

Semantic schema theory for genetic programming. - Zahra Zojaji; Mohammad Mehdi Ebadzadeh (Appl. Intell., 2016)

Endmember orthonormal mapping in hyperspectral mixture analysis to address endmember variability. - Ali Jafari; Reza Safabakhsh; Mohammad Mehdi Ebadzadeh (Earth Sci. Informatics, 2016)

A new real-coded stochastic Bayesian optimization algorithm for continuous global optimization. - Behnaz Moradabadi; Mohammad Mahdi Ebadzadeh; Mohammad Reza Meybodi (Genet. Program. Evolvable Mach., 2016)

Imprecise query processing in wireless sensor networks: a fuzzy-based approach. - Parand Akhlaghi; Mehdi Dehghan 001; Mohammad Mehdi Ebadzadeh (Int. J. Ad Hoc Ubiquitous Comput., 2016)

History-Driven Particle Swarm Optimization in dynamic and uncertain environments. - Babak Nasiri; Mohammad Reza Meybodi; Mohammad Mehdi Ebadzadeh (Neurocomputing, 2016)

Statistical genetic programming for symbolic regression. - Maryam Amir Haeri; Mohammad Mehdi Ebadzadeh; Gianluigi Folino (Appl. Soft Comput., 2017)

Graphical model based continuous estimation of distribution algorithm. - Latifeh PourMohammadBagher; Mohammad Mehdi Ebadzadeh; Reza Safabakhsh (Appl. Soft Comput., 2017)

Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh; Christian Darlot (Biol. Cybern., 2017)

A possible correlation between the basal ganglia motor function and the inverse kinematics calculation. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh; Christian Darlot (J. Comput. Neurosci., 2017)

Bayesian network structure training based on a game of learning automata. - Soheila Gheisari; Mohammad Reza Meybodi; Mehdi Dehghan 001; Mohammad Mehdi Ebadzadeh (Int. J. Mach. Learn. Cybern., 2017)

Semantic schema modeling for genetic programming using clustering of building blocks. - Zahra Zojaji; Mohammad Mehdi Ebadzadeh (Appl. Intell., 2018)

A decomposition method for symbolic regression problems. - Samaneh Sadat Mousavi Astarabadi; Mohammad Mehdi Ebadzadeh (Appl. Soft Comput., 2018)

A system-level mathematical model of Basal Ganglia motor-circuit for kinematic planning of arm movements. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh; Christian Darlot (Comput. Biol. Medicine, 2018)

An improved semantic schema modeling for genetic programming. - Zahra Zojaji; Mohammad Mehdi Ebadzadeh (Soft Comput., 2018)

IC-FNN: A Novel Fuzzy Neural Network With Interpretable, Intuitive, and Correlated-Contours Fuzzy Rules for Function Approximation. - Mohammad Mehdi Ebadzadeh; Armin Salimi-Badr (IEEE Trans. Fuzzy Syst., 2018)

A self-organizing fuzzy neural network for sequence learning. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh (CoRR, 2019)

Dictionary learning enhancement framework: Learning a non-linear mapping model to enhance discriminative dictionary learning methods. - Arash Abdi; Mohammad Rahmati; Mohammad Mehdi Ebadzadeh (Neurocomputing, 2019)

Genetic programming performance prediction and its application for symbolic regression problems. - Samaneh Sadat Mousavi Astarabadi; Mohammad Mehdi Ebadzadeh (Inf. Sci., 2019)

Support vector-based fuzzy classifier with adaptive kernel. - Hamed Ganji; Shahram Khadivi; Mohammad Mehdi Ebadzadeh (Neural Comput. Appl., 2019)

Fuzzy neural network with support vector-based learning for classification and regression. - Ghazaleh Khodabandelou; Mohammad Mehdi Ebadzadeh (Soft Comput., 2019)

A Computational System-Level Model of Oculomotor Pathways Accounting for the Representation of Eye Biomechanics in the Cerebellar Vermis. - Christian Darlot; Armin Salimi-Badr; Mitra Asadi-Eydivand; Zahra Ghorrati; Mohammad Mehdi Ebadzadeh (IEEE Access, 2020)

A memetic grouping genetic algorithm for cost efficient VM placement in multi-cloud environment. - Seyedeh Yasaman Rashida; Masoud Sabaei; Mohammad Mehdi Ebadzadeh; Amir Masoud Rahmani (Clust. Comput., 2020)

An intelligent approach for predicting resource usage by combining decomposition techniques with NFTS network. - Seyedeh Yasaman Rashida; Masoud Sabaei; Mohammad Mehdi Ebadzadeh; Amir Masoud Rahmani (Clust. Comput., 2020)

Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh (CoRR, 2020)

Kernel compositional embedding and its application in linguistic structured data classification. - Hamed Ganji; Mohammad Mehdi Ebadzadeh; Shahram Khadivi (Knowl. Based Syst., 2020)

Mathematical analysis of the role of pituitary-adrenal interactions in ultradian rhythms of the HPA axis. - Hamed Malek; Mohammad Mehdi Ebadzadeh; Reza Safabakhsh; Alireza Razavi (Comput. Biol. Medicine, 2021)

Maximum Entropy Dueling Network Architecture. - Alireza Nadali; Mohammad Mehdi Ebadzadeh (CoRR, 2021)

Modified Double DQN: addressing stability. - Shervin Halat; Mohammad Mehdi Ebadzadeh (CoRR, 2021)

EnTRPO: Trust Region Policy Optimization Method with Entropy Regularization. - Sahar Roostaie; Mohammad Mehdi Ebadzadeh (CoRR, 2021)

Entropy based dictionary learning for image classification. - Arash Abdi; Mohammad Rahmati; Mohammad M. Ebadzadeh (Pattern Recognit., 2021)

A full-featured cooperative coevolutionary memory-based artificial immune system for dynamic optimization. - Bahareh Etaati; Zahra Ghorrati; Mohammad Mehdi Ebadzadeh (Appl. Soft Comput., 2022)

Semantic schema based genetic programming for symbolic regression. - Zahra Zojaji; Mohammad Mehdi Ebadzadeh; Hamid Nasiri (Appl. Soft Comput., 2022)

MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction. - Hamid Nasiri; Mohammad Mehdi Ebadzadeh (Neurocomputing, 2022)

A novel learning algorithm based on computing the rules' desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh (Neurocomputing, 2022)

Adaptive Explicit Kernel Minkowski Weighted K-means. - Amir Aradnia; Maryam Amir Haeri; Mohammad Mehdi Ebadzadeh (Inf. Sci., 2022)

Reservoir weights learning based on adaptive dynamic programming and its application in time series classification. - Mohammad Modiri; Mohammad Mehdi Homayounpour; Mohammad Mehdi Ebadzadeh (Neural Comput. Appl., 2022)

A Novel Self-Organizing Fuzzy Neural Network to Learn and Mimic Habitual Sequential Tasks. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh (IEEE Trans. Cybern., 2022)

A hierarchical estimation of multi-modal distribution programming for regression problems. - Mohaddeseh Koosha; Ghazaleh Khodabandelou; Mohammad Mehdi Ebadzadeh (Knowl. Based Syst., 2023)

Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition. - Hamid Nasiri; Mohammad Mehdi Ebadzadeh (Appl. Soft Comput., 2023)

Stock market forecasting using DRAGAN and feature matching. - Fateme Shahabi Nejad; Mohammad Mehdi Ebadzadeh (Expert Syst. Appl., 2024)

Reservoir consisting of diverse dynamical behaviors and its application in time series classification. - Mohammad Modiri; Mohammad Mehdi Ebadzadeh; Mohammad Mehdi Homayounpour (Int. J. Data Sci. Anal., 2024)

Improving the efficiency of the XCS learning classifier system using evolutionary memory. - Ali Yousefi; Kambiz Badie; Mohammad Mehdi Ebadzadeh; Arash Sharifi (Wirel. Networks, 2024)

RIZE: Regularized Imitation Learning via Distributional Reinforcement Learning. - Adib Karimi; Mohammad Mehdi Ebadzadeh (CoRR, 2025)